Habitat-specific seasonal densities of sympatric raccoons and opossums in the southeastern United States
Journal of Mammalogy,
Год журнала:
2025,
Номер
unknown
Опубликована: Янв. 29, 2025
Abstract
Raccoon
and
opossum
densities
have
implications
for
rabies
management,
but
estimates
of
seasonal
both
species
are
lacking
rural
nonagricultural
habitats
the
southeastern
United
States,
a
core
portion
their
geographic
range.
Consequently,
it
remains
unclear
whether
1
limit
other,
which
is
possible
considering
substantial
niche
overlap.
We
carried
out
mark–recapture
study
raccoons
opossums
in
4
(bottomland
hardwood
forest,
riparian
upland
pine
isolated
wetlands)
South
Carolina,
States
(2020
to
2022),
combined
this
with
previous
data
from
same
(2017
2019)
estimate
habitat-specific
spring
fall
densities.
ranged
5.17
±
0.96
animals/km2
fall)
1.63
0.83
(upland
spring)
were
on
average
19%
higher
compared
spring.
Opossum
10.35
1.98
1.11
1.55
divergent
patterns
among
habitats.
These
low
across
all
other
studies
likely
result
resource
availability,
consistent
that
minimal
anthropogenic
influence.
observed
positive
association
between
raccoon
trapping
grids,
suggesting
do
not
suppress
densities,
increase
increasing
availability.
Our
results
can
be
used
inform
oral
vaccination
efforts
such
as
refining
bait
timing
distribution
these
Язык: Английский
Contrasting Patterns of Raccoon (Procyon lotor) Spatial Population Genomics Throughout a Rabies Management Area in Eastern North America
Evolutionary Applications,
Год журнала:
2025,
Номер
18(5)
Опубликована: Май 1, 2025
ABSTRACT
Wide‐ranging,
generalist
species
provide
both
interesting
and
challenging
opportunities
for
research
questions
focused
on
population
structure.
Their
continuous
distributions
ability
to
occupy
diverse
habitat
types
can
obscure
genetic
signals
of
ancestry
geographic
clustering.
However,
spatially
informed
approaches
are
notable
high‐resolution
identification
clusters
that
often
elude
more
classical
clustering
models.
The
northern
raccoon
(
Procyon
lotor
)
is
a
broadly
distributed
in
North
America,
with
populations
habitats
ranging
from
dense
urban
rural
landscapes.
Wildlife
management
agencies
have
an
interest
understanding
ecology,
given
their
propensity
human‐wildlife
conflicts
zoonotic
diseases.
We
combined
samples
extensive
tissue
repository
RADcapture
panel
1000
microhaplotype
loci
conduct
spatial
analyses
eastern
America.
Our
objective
was
estimate
patterns
diversity
the
landscape
may
inform
rabies
management.
Bayesian
delineated
multiple
encompassed
large
areas
across
22
US
states
2
Canadian
provinces.
discovered
potential
phylogeographic
split
between
central
southern
those
northeast
region,
which
correlates
post‐Pleistocene
recolonization
detected
multitude
region.
A
finer
scale
structure
identified
using
explicit
demonstrated
variable
dispersal/gene
flow
within
specific
regions.
Appalachian
Mountain
region
restricted
local
connectivity
among
raccoons,
while
New
York,
Ohio
River
Valley,
Québec,
Alabama
high
connectivity.
results
this
study
highlight
how
ecology
historical
biogeography
help
contextualize
contrasting
hypotheses
about
influence
movement
patterns,
disease
risks
at
regional
scales.
Язык: Английский
Influence of habitat and baiting strategy on oral rabies vaccine bait uptake by raccoons in the southeastern United States
Applied Animal Behaviour Science,
Год журнала:
2024,
Номер
277, С. 106320 - 106320
Опубликована: Июнь 17, 2024
Язык: Английский
Raccoon density estimation from camera traps for raccoon rabies management
Journal of Wildlife Management,
Год журнала:
2024,
Номер
89(2)
Опубликована: Ноя. 26, 2024
Abstract
Density
estimation
for
unmarked
animals
is
particularly
challenging,
yet
density
estimates
are
often
necessary
effective
wildlife
management.
Raccoons
(
Procyon
lotor
)
the
primary
terrestrial
reservoir
Lyssavirus
rabies
within
United
States.
The
raccoon
variant
(RRVV)
actively
managed
at
landscape
scales
using
oral
vaccination
(ORV)
eastern
To
effectively
manage
RRVV,
it
important
to
know
of
raccoons
appropriately
scale
ORV
baits
distributed
on
landscape.
We
compared
methods
estimate
densities
from
camera‐trap
data
versus
more
intensive
capture‐mark‐recapture
(CMR)
across
2
land
cover
types
(upland
pine
and
bottomland
hardwood)
in
southeastern
States
during
2019
2020.
evaluated
effect
alternative
camera
configurations
durations
trapping
used
an
N‐mixture
model
densities,
including
covariates
abundance
detection.
further
different
scaling
camera‐based
counts,
with
maximum
number
seen
any
given
image
a
day
best
explaining
density.
Camera‐trap
were
moderately
correlated
CMR
r
=
0.56).
However,
reliable
when
classifying
category
as
index
inform
management
(83%
correct
estimates),
although
our
study
fell
into
lowest
classes
only.
Using
cameras
reduced
bias
uncertainty
around
estimates;
however,
if
≤6
traps
site,
line
transect
approach
proved
less
biased
than
grid
design.
Camera
should
be
conducted
least
3
weeks
accurate
population
area
(<5%
bias).
show
that
can
assign
management‐relevant
bins,
but
studies
needed
ensure
reliability
greater
range
environmental
conditions
densities.
Язык: Английский